Engagement Scoring
Engagement scoring quantifies how actively a lead or account interacts with your brand, content, and product, turning clicks, opens, visits, and quiz completions into a measurable interest signal.
In depth
Each tracked behavior is assigned points and often a recency decay, so a contact who opened an email last week and finished a quiz today scores higher than one who clicked an ad six months ago. The result is a dynamic, behavior-based score that complements static fit attributes and tells sales not just who is a good match but who is paying attention right now.
A common pitfall is rewarding low-intent actions equally with high-intent ones, inflating scores for people who skim newsletters but never evaluate the product. In a quiz-funnel workflow, completing a Pivix quiz is a strong engagement signal worth heavy weighting, and combining it with follow-up email and pricing-page activity gives a far sharper read on timing than any single channel alone.
Example in practice
Frequently asked questions
What is recency decay in engagement scoring?
Recency decay lowers the points from an action as time passes, so recent behavior counts more than old behavior. It prevents stale activity from keeping a score artificially high.
How does engagement scoring differ from lead scoring?
Lead scoring usually blends fit and behavior to judge sales-readiness, while engagement scoring isolates behavioral intensity over time. Engagement is often one input into a broader lead or customer score.
Why weight a quiz completion heavily?
Finishing a multi-step quiz signals real intent and gives you qualifying data at once. That makes it a stronger engagement signal than a passive action like an email open, so it deserves more points.